摘要
研究空战多机协同定位问题,由于空战双方飞机都处于高速运动和强机动状态,飞行轨迹不确定,多机协同探测具有特殊的难度。传统技术测角精度低造成定位精度差、算法收敛慢,同时多机探测带来系统有色噪声使得目标航迹容易出现有偏估计,不能满足定位的要求。为解决上述问题,提出利用总体最小二乘法(TLS)解决了多机交叉定位难题,利用卡尔曼滤波算法(KF)实现了有色噪声下的系统误差估计和目标航迹跟踪。最后,通过一个仿真实例,验证了TLS-KF算法的有效性,具有定位精度高、算法快速收敛、航迹无偏估计等特点。
The paper studied the multi - airplane cooperative detection technique. We proposed an algorithm utilizing the total least squares to passive target localization, the system bias was estimated by using Kalman filter with colored noise, and a target trajectory algorithm was designed. At last, an example was simulated and the validity of algorithm was illuminated, which has the characteristics of high positioning accuracy, fast convergent algorithm and unbiased estimation of tracks.
出处
《计算机仿真》
CSCD
北大核心
2014年第8期27-31,共5页
Computer Simulation
关键词
无源定位
总体最小二乘
多机
数据融合
Passive location
Total least squares
Multi -airplane
Data fusion
